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181 to 190 of 55,856 Results
XZ Archive - 107.3 MB - MD5: 3b490678c54cb124c0cfe981cc860951
ca_person.csv.xz is a list of the people (synthetic) created to live in our synthetic representation of California. This includes information like age, gender, household identifier, and demographics.
XZ Archive - 1.8 GB - MD5: 5915da70a0a53c6294659d9481d9e67c
ca_population_network.csv.xz is a contact network that establishes connections between people in the synthetic representation of California, based on the ca_location_assignment_day.csv.xz.
XZ Archive - 116.7 MB - MD5: 75f4af815779cbc37e48bf17394c2dba
ca_residence_locations.csv.xz is a list of the residence locations for our synthetic representation of California where people conduct their home activities (activity type 1)
Adobe PDF - 521.2 KB - MD5: cf835bbb5dcd9b87ad3ee3efe17a1336
This document is a data dictionary to explain (generally) what the different files in the synthetic populations represent, as well as the column definitions.
Apr 30, 2026 - School of Engineering and Applied Science
Zhu, Yuanhang; Ormonde, Pedro C.; Liu, Leo; Pan, Yu; Westfall, Elizabeth; Han, Tianjun; Zhu, Joseph; Zhong, Qiang; Bart-Smith, Hilary; Dong, Haibo; Lauder, George V.; Moored, Keith W.; Quinn, Daniel B., 2025, "Particle Image Velocimetry for Bio-Inspired Vortex, Fin, and Boundary Interactions", https://doi.org/10.18130/V3/UL6CJE, University of Virginia Dataverse, V4
Particle Image Velocimetry for Bio-Inspired Vortex, Fin, and Boundary Interactions.
ZIP Archive - 8.7 GB - MD5: 7f71f09ad2ba7b306f5f01f6c57b620d
PIV and force data for "Ormonde, P. C., Zhu, Y., Quinn, D. B., & Moored, K. W. (2026). Rather than drafting, vortex capture dictates efficiency in three-hydrofoil schools. arXiv:2604.19121”
Apr 30, 2026 - Biocomplexity Institute & Initiative
Mortveit, Henning S.; Adiga, Abhijin; Baek, Hannah; Bhattacharya, Parantapa; Eubank, Stephen; Machi, Dustin; Marathe, Madhav; Porebski, Przemyslaw; Swarup, Samarth; Venkatramanan, Srinivasan; Wilson, Mandy; Xie, Dawen, 2024, "Synthetic Population for Washington, US (ver. 2.4.0)", https://doi.org/10.18130/V3/PNGMRJ, University of Virginia Dataverse, V2, UNF:6:i+YB7Rre5h9cv3VjPNxfew== [fileUNF]
The synthetic population for the state of Washington is constructed to be statistically indistinguishable from the real population at the spatial resolution of a US block group as measured by the US Census on selected demographic variables, which in this case are age (AGEP), household income (HINCP), household size (NP), race (RAC1P) and hispanic (...
Tabular Data - 97 B - 2 Variables, 8 Observations - UNF:6:i+YB7Rre5h9cv3VjPNxfew==
This is a lookup file that defines the different activity type identifiers (integer) supported in our v.2.4.0 synthetic populations, along with the activity type verbiage so that when looking at location assignments or the population network, it is clear what activity the person is doing at that time.
Adobe PDF - 521.2 KB - MD5: cf835bbb5dcd9b87ad3ee3efe17a1336
This document is a data dictionary to explain (generally) what the different files in the synthetic populations represent, as well as the column definitions.
XZ Archive - 100.8 MB - MD5: 59d3814e29a09b69013156752414cd30
wa_activity_assignment_day.csv.xz contains the activity sequences for the synthetic people in the synthetic representation of Washington. This does not contain the locations where these activities are performed -- wa_location_assignment_day.csv.xz has the mapping of activities to locations.
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